Modeling is one of the most effective, commonly used tools in engineering and the applied sciences. In this book, the authors deal with mathematical programming models both linear and nonlinear and across a wide range of practical applications.
Whereas other books concentrate on standard methods of analysis, the authors focus on the power of modeling methods for solving practical problems-clearly showing the connection between physical and mathematical realities-while also describing and exploring the main concepts and...
Fundamental concepts of mathematical modeling
Modeling is one of the most effective, commonly used tools in engineering and the applied s...
This addition to the ISOR series is a readable yet rigorous advanced text/reference on models and decision-making under uncertainty in the growing area of electricity markets. It is the first book to show how to use stochastic programming procedures to carry out in-depth analysis of decision-making models under uncertainty in these markets, including formulation issues and solution techniques. Due to the recent creation of futures markets for electricity in the past decade, much of the book is groundbreaking and reflects the most recent advances in operations research and its application...
This addition to the ISOR series is a readable yet rigorous advanced text/reference on models and decision-making under uncertainty in the growing ...
This addition to the ISOR series is a readable yet rigorous advanced text/reference on models and decision-making under uncertainty in the growing area of electricity markets. It is the first book to show how to use stochastic programming procedures to carry out in-depth analysis of decision-making models under uncertainty in these markets, including formulation issues and solution techniques. Due to the recent creation of futures markets for electricity in the past decade, much of the book is groundbreaking and reflects the most recent advances in operations research and its application...
This addition to the ISOR series is a readable yet rigorous advanced text/reference on models and decision-making under uncertainty in the growing ...
This addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic renewable production facilities, such as wind- and solar-based generation units.
As stochastic renewable production units become ubiquitous throughout electric energy systems, an increasing level of flexible backup provided by non-stochastic units and other system agents is needed if supply security and quality are to be maintained.
Within the context above, this book provides up-to-date analytical tools to address challenging...
This addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic ren...
This book provides an in-depth analysis of investment problems pertaining to electric energy infrastructure, including both generation and transmission facilities. The analysis encompasses decision-making tools for expansion planning, reinforcement, and the selection and timing of investment options. In this regard, the book provides an up-to-date description of analytical tools to address challenging investment questions such as:
How can we expand and/or reinforce our aging electricity transmission infrastructure?
How can we expand the transmission network of a given...
This book provides an in-depth analysis of investment problems pertaining to electric energy infrastructure, including both generation and transmissio...
This book provides up-to-date analytical tools to address challenging operational problems in renewable energy production facilities, such as wind- and solar-based generation units. It includes many illustrative examples.
This book provides up-to-date analytical tools to address challenging operational problems in renewable energy production facilities, such as wind- an...
This textbookcovers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of...
This textbookcovers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization technique...
